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MPC BENEFITS NGL RECOVERY
A constrained model predictive control strategy was implemented on a natural gas liquids (NGL) recovery process at a gas plant in the Middle
East. Working closely with plant personnel the project team designed, built and implemented a solution that brought significant financial
benefits within three months.
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BALANCING H2 PRODUCTION & DEMAND
A unique multivariable controller configuration was implemented on three parallel trains to optimise a hydrogen production unit. The outcome was much smoother operation, minimising the impact of disturbances to the hydrogen plant, and annual savings of $350,000.
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MAKING ETHYLENE
The team were asked to optimise the base control configuration of an ethylene cracking furnace to give tighter control and greater stability.
The completed scheme brought not only increased economic benefits to the customer, but improvements in safety .
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OPTIMAL DRYING
By designing and implementing an adaptive control system to an industrial drying operation, the process efficiency was
improved significantly leading to substantial cost reductions and production increases.
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NOXIOUS NOX
A flexible, cost effective linear control optimisation system was developed to address emissions reductions and thermal performance in an NOx plant.
Integrated with a non-linear facility to model ‘soft sensors’, the solution resulted in significant emissions reductions and considerable cost savings.
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NEW MPC CONTROLLER CRUSHES TRADITIONAL APPROACH TO GRINDING
Model Predictive Control (MPC), usually confined to petrochemical applications, was applied in the non-traditional area of copper ore grinding
at a US mill. The successful implementation drove the line to its optimum operating point, maintaining control through variations in ore
characteristics
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KILN CONTROL
Balancing fuel consumption with good quality output within environmental regulations make kilns ideal candidates for optimisation control schemes.
A scheme implemented on a US paper mill by Patrick Thorpe and colleagues brought significant improvements to the plant’s running and to the quality
control of the product.
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